Taha, Syarifah Nabilah Syed and Abu Talip, Mohamad Sofian and Mohamad, Mahazani and Hasan, Zati Hakim Azizul and Izam, Tengku Faiz Tengku Mohmed Noor (2024) Evaluation of LoRa Network Performance for Water Quality Monitoring Systems. Applied Sciences-Basel, 14 (16). p. 7136. ISSN 2076-3417, DOI https://doi.org/10.3390/app14167136.
Full text not available from this repository.Abstract
Conserving water resources from scarcity and pollution is the basis of water resource management and water quality monitoring programs. However, due to industrialization and population growth in Malaysia, which have resulted in poor water quality in many areas, this program needs to be improved. A smart water quality monitoring system based on the internet of things (IoT) paradigm was designed to analyze water conditions in real time and enable effective water management. Long-range (LoRa) application of the low-power, wide-area networking concept has become a phenomenon in IoT smart monitoring applications. This study proposes the implementation of a LoRa network in a water quality monitoring system-based IoT approach. The LoRa nodes were embedded with measuring sensors pH, turbidity, temperature, total dissolved solids, and dissolved oxygen, in the designated water stations. They operate at a transmission power of 14 dB and a bandwidth of 125 kHz. The network properties were tested with two different antenna gains of 2.1 dBi and 3 dBi, with three different spread factors of 7, 9, and 12. The water stations were located on the Sungai Pantai and Sungai Anak Air Batu rivers on the Universiti Malaya campus, Malaysia. Following a dashboard display and K-means analysis of the water quality data received by the LoRa gateway, it was determined that both rivers are Class II B rivers. The results from the evaluation of LoRa performance on the received strength signal indicator, signal noise ratio, loss packet, and path loss at best were -83 dBm, 7 dB, <0%, and 64.41 dB, respectively, with a minimum received sensitivity of -129.1 dBm. LoRa has demonstrated its efficiency in an urban environment for smart river monitoring purposes.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya (IIRG006B) ; ((RU Faculty) GPF007A) |
| Uncontrolled Keywords: | internet of things (IoT); long-range application (LoRa); wide-area networking; real time; smart monitoring and water quality |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Apr 2025 07:45 |
| Last Modified: | 07 Apr 2025 07:45 |
| URI: | http://eprints.um.edu.my/id/eprint/46746 |
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